Literature DB >> 18765426

From the two-dimensional Th1 and Th2 phenotypes to high-dimensional models for gene regulation.

Henk-Jan van den Ham1, Rob J de Boer.   

Abstract

The T(h)1/T(h)2 paradigm has been used for decades to characterize phenotypically different immune responses. Recent discoveries, e.g. T(h)17 cells are adding more dimensions to the helper T cell framework, and the T(h)1/T(h)2 paradigm is currently being extended to include these new phenotypes. Previous mathematical models cannot easily be extended to accommodate these new phenotypes, and therefore these discoveries call for a new type of models. We devised a new model of helper T cell differentiation that describes expression of, and interactions between, the master regulators determining the phenotypic polarization of helper T cells. The model is able to describe any number of master regulators and is grounded on transcription factors binding promoter sites and binding each other. The model allows for stable switches between several different phenotypes. Furthermore, the model accounts for the kinetics of FoxP3 and GATA3 mRNA expression measured after stimulating naive helper (CD4+CD45RA+) T cells under various circumstances. Due to its n-dimensional character, this model may easily be applied to other developmental processes that involve master regulators.

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Year:  2008        PMID: 18765426     DOI: 10.1093/intimm/dxn093

Source DB:  PubMed          Journal:  Int Immunol        ISSN: 0953-8178            Impact factor:   4.823


  16 in total

1.  Diverse continuum of CD4+ T-cell states is determined by hierarchical additive integration of cytokine signals.

Authors:  Inbal Eizenberg-Magar; Jacob Rimer; Irina Zaretsky; David Lara-Astiaso; Shlomit Reich-Zeliger; Nir Friedman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-17       Impact factor: 11.205

Review 2.  Demystifying the cytokine network: Mathematical models point the way.

Authors:  Penelope A Morel; Robin E C Lee; James R Faeder
Journal:  Cytokine       Date:  2016-12-03       Impact factor: 3.861

3.  A Mathematical Framework for Understanding Four-Dimensional Heterogeneous Differentiation of CD4+ T Cells.

Authors:  Tian Hong; Cihan Oguz; John J Tyson
Journal:  Bull Math Biol       Date:  2015-03-17       Impact factor: 1.758

4.  Diversity and plasticity of Th cell types predicted from regulatory network modelling.

Authors:  Aurélien Naldi; Jorge Carneiro; Claudine Chaouiya; Denis Thieffry
Journal:  PLoS Comput Biol       Date:  2010-09-02       Impact factor: 4.475

Review 5.  A Dynamical Paradigm for Molecular Cell Biology.

Authors:  John J Tyson; Bela Novak
Journal:  Trends Cell Biol       Date:  2020-04-30       Impact factor: 20.808

6.  A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells.

Authors:  Tian Hong; Jianhua Xing; Liwu Li; John J Tyson
Journal:  BMC Syst Biol       Date:  2012-06-14

7.  A mathematical model for the reciprocal differentiation of T helper 17 cells and induced regulatory T cells.

Authors:  Tian Hong; Jianhua Xing; Liwu Li; John J Tyson
Journal:  PLoS Comput Biol       Date:  2011-07-28       Impact factor: 4.475

8.  Model checking to assess T-helper cell plasticity.

Authors:  Wassim Abou-Jaoudé; Pedro T Monteiro; Aurélien Naldi; Maximilien Grandclaudon; Vassili Soumelis; Claudine Chaouiya; Denis Thieffry
Journal:  Front Bioeng Biotechnol       Date:  2015-01-28

9.  An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation.

Authors:  Tarmo Aijö; Sanna M Edelman; Tapio Lönnberg; Antti Larjo; Henna Kallionpää; Soile Tuomela; Emilia Engström; Riitta Lahesmaa; Harri Lähdesmäki
Journal:  BMC Genomics       Date:  2012-10-30       Impact factor: 3.969

10.  Cellular and population plasticity of helper CD4(+) T cell responses.

Authors:  Gesham Magombedze; Pradeep B J Reddy; Shigetoshi Eda; Vitaly V Ganusov
Journal:  Front Physiol       Date:  2013-08-16       Impact factor: 4.566

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